Releases

Pipeline Builder became available for visual data-transformation authoring in Foundry.

Apollo's continuous-delivery capabilities became the deployment layer for Palantir software.

Workshop became available for building operational applications on the Ontology.

Palantir launched Apollo to continuously deliver and manage software across heterogeneous environments.

Scale introduced a managed workspace for configuring annotation projects, instructions, quality controls, and review workflows.

AWS launched attachable fractional GPU acceleration for EC2 and SageMaker inference workloads.

AWS launched a reinforcement-learning education platform built around an autonomous scale race car.

AWS introduced document AI for extracting text, handwriting, forms and tables.

AWS introduced a managed forecasting service based on technology used in Amazon's retail operations.

AWS introduced a managed service for building individualized recommendations using technology derived from Amazon.com.

AWS introduced a managed data-labeling service combining human annotation with active learning.

AWS launched a HIPAA-eligible NLP service for extracting medical entities and relationships from text.

Oracle launched a multi-skill enterprise digital assistant using natural-language understanding and machine learning.

NVIDIA launched the T4 GPU and TensorRT 5 as a data-center inference platform.

Scale expanded its annotation platform around the image, video, lidar, and sensor-fusion requirements of autonomous-vehicle developers.

Baidu announced its first Kunlun AI accelerator for cloud and edge workloads.

Baidu introduced its in-house Kunlun AI computing architecture.

Baidu launched a full-featured machine-learning platform for algorithm developers.

Apollo 3.0 added production support for autonomous minibuses, delivery vehicles and valet parking.

Baidu launched a PaddlePaddle development and education platform for model building.

Baidu Brain 3.0 added multimodal semantic understanding and more than 110 AI capabilities.

Databricks introduced MLflow as an open-source platform for managing the machine-learning lifecycle.

NVIDIA introduced the Jetson AGX Xavier embedded AI computer for autonomous machines.

Apollo 2.5 added high-speed-road support, lower costs, developer improvements and ApolloScape datasets.

Oracle released the first Autonomous Database cloud service, powered by machine-learning automation.